This paper concerns the stability analysis of discrete Takagi-Sugeno fuzzy systems with time-varying delays.A suitable Lyapunov-Krasovskii functional is constructed,and an extended reciprocally convex matrix inequalit...
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This paper concerns the stability analysis of discrete Takagi-Sugeno fuzzy systems with time-varying delays.A suitable Lyapunov-Krasovskii functional is constructed,and an extended reciprocally convex matrix inequality is used to estimate the forward difference of the *** a result,a less conservative stability criterion is ***,a numerical example is given to demonstrate the advantage of the proposed method.
The design and implementation of a monitoring system for networked controlsystems(NCSs) are introduced in this paper. The monitoring system is developed in *** framework using C# according to the C/S architecture w...
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The design and implementation of a monitoring system for networked controlsystems(NCSs) are introduced in this paper. The monitoring system is developed in *** framework using C# according to the C/S architecture which allows the user to monitor network nodes without geographical limitations. The widgets used to display come from the National Instruments(NI) suit and are integrated in the system by reconstructing it. The user is able to design a monitoring interface freely by creating and customizing widgets dynamically. During the monitoring, the display value of the widget is synchronized with parameters and signals of NCSs through receiving data asynchronously from network notes. In particular, all elements of the matrix widely used in NCSs are supported for monitoring. The functionality and feasibility of the designed monitoring system are demonstrated via a networked control experiment. In addition, the saved data can be used in data driven control and model identification.
In the continuous annealing line heating process, it is hard to get an accurate predict result only by a steady state model as it is a complex, strongly time-delayed and confounding process. This study provides a meth...
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In the continuous annealing line heating process, it is hard to get an accurate predict result only by a steady state model as it is a complex, strongly time-delayed and confounding process. This study provides a method for building a dynamic model. First analyzes the mechanism of the annealing line to get the main parameters, and then use the data-driven modeling method to get a steady state model, finally combines with dynamic algorithm to establish a dynamic model. This modeling method improves the accuracy of predict result to guarantee the efficiency of enterprises.
The evaluation and decision support system are widely used in agriculture with the development of information technology. In this paper, a Web-based comprehensive evaluation and decision support system (WCEDSS) is des...
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The evaluation and decision support system are widely used in agriculture with the development of information technology. In this paper, a Web-based comprehensive evaluation and decision support system (WCEDSS) is designed for flue-cured tobacco cultivation process. Using the artificial neural networks and some image processing methods, WCEDSS can predict various indicators of tobacco such as yield and flue-cured score, or give decisions at different stages of tobacco cultivation. As the system is developed by the Browser/Server (B/S) architecture, it is possible to make full use of the Internet resources and to facilitate users at any place with access to the Internet. Test results indicates that WCEDSS can achieve good performance. With other auxiliary functions, the system shows potential and extensive practicality in agricultural information management and guidance.
The research of miniaturized XRF/XRD analyzers are carried out in this paper, especially the qualitative analysis based on EDXRF, a miniaturized energy dispersive X-ray fluorescence spectrometry platform is designed a...
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The research of miniaturized XRF/XRD analyzers are carried out in this paper, especially the qualitative analysis based on EDXRF, a miniaturized energy dispersive X-ray fluorescence spectrometry platform is designed and a qualitative elemental analysis software based on Android operating system is developed. The elemental qualitative analysis software can preprocess the X-ray feature spectrum by background eliminationsmoothing and energy coefficient calibration, after these pretreatments,the main elements of the sample can be analyzed. The experimental results show that the qualitative elemental analysis platform proposed in this paper can measure the elements of Al to Au in the periodic table, besides, the detection accuracy of multiple samples is higher than 97%. The mineral qualitative elemental analysis software proposed in this paper can be applied to any portable analysis platform based on Android operating system, moreover, it will spur advances in the development of the miniaturization and intelligent X-ray fluorescence spectrometer.
In the modern power system, overvoltage phenomenon occurs frequently. Overvoltage generation will cause electrical equipment breakdown, explosion, and other accidents. These accidents not only cause unnecessary econom...
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In the modern power system, overvoltage phenomenon occurs frequently. Overvoltage generation will cause electrical equipment breakdown, explosion, and other accidents. These accidents not only cause unnecessary economic losses but also seriously affect the operation of power system. The popularization and application of on-line monitoring technology for UHV AC and DC transmission lines provide a guarantee for the safe operation of the power grid. Monitoring the overvoltage intrusion of UHV substations and accurately recording the parameters of overvoltage intrusion is of great significance to the study of overvoltage and the protection of over-voltage in substations. Based on the analysis of the principle of a monitoring system, this paper puts forward the mathematical model of a monitoring system. According to the basic functions of a monitoring system, it puts forward the overall design plan combining the upper computer and the lower computer, and the key problems to be solved in the monitoring system. Including the board design and the high speed data acquisition board based on FPGA design of control system based on STM32, and the automatic variable rate compression technology, GPS timing and Timekeeping Technology, overvoltage invasion wave trigger judgment, high speed data acquisition and cache technology and based on TCP protocol according to the number of batch transmission.
To overcome the shortcomings of high cost, maintenance difficulties in traditional vehicle detection methods. This paper p resents a novel vehicle detection method used in the military field. The anisotrop ic magneto ...
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To overcome the shortcomings of high cost, maintenance difficulties in traditional vehicle detection methods. This paper p resents a novel vehicle detection method used in the military field. The anisotrop ic magneto resistive(AM R) sensor is used to detect geomagnetic disturbances in real time, meanwhile, the ultrasonic distance-measuring sensor is adop ted to determine the p osition of the target vehicle and avoid miscalculation. To reduce detection delay, a scheme containing dual AM R sensors and wireless communication module for information transferring is used on this detection sy stem. In order to verify the effectiveness of the detection sy stem, a mathematical model of vehicle detection based on geomagnetic disturbance detection is established. According to the test results, t he influence cased by different content of ferromagnetic material and detection distance is analy zed. Finally, the related exp eriments on the effects of different ferromagnetic contents on the geomagnetic disturbance at different detection distances are carried out. The exp erimental results verify the correctness of the mathematical model p rop osed in this p ap er, and further verify the effectiveness of the detection sy stem. This detection sy stem p ossesses many p rominent advantages such as low-cost, long-life, good p erformance of real time, convenience.
Cooperative lifting by two cranes is widely used in the current construction site. Since the influence of changeable load in the cooperative lifting process, it is essential to take the load distribution into consider...
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Cooperative lifting by two cranes is widely used in the current construction site. Since the influence of changeable load in the cooperative lifting process, it is essential to take the load distribution into consideration while planning the lifting path to ensure the safety of the whole lifting process. However, most researches did not consider the reasonable actual load distribution or just used a certain load in the lift process. This paper analyzes the relationship between crane operations and the pose of the lifted object. Then based on this relationship, this paper gives the method calculating the distribution of actual load over each crane that the planning approach is based. This paper also gives calculation methods and constraints for the skew angle of each lifting rope. The results of simulation show the effectiveness of this calculation method.
This paper investigates the issue for stability of linear system with time-varying delay. First, by combining the Free-matrix technique and the B-L inequality, a new inequality named Free-matrix Legendre inequality is...
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This paper investigates the issue for stability of linear system with time-varying delay. First, by combining the Free-matrix technique and the B-L inequality, a new inequality named Free-matrix Legendre inequality is proposed. Then, based on this inequality, two sets of stability criteria are developed which are less conservative than the existing ones due to the fact that more freedom are introduced. Finally, a numerical example is given to illustrate the advantage of our method.
Due to the unknown complexity of geological conditions, drilling operations are difficult to carry out. It is of great value to implement drilling measurement while drilling. However, due to the poor working condition...
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Due to the unknown complexity of geological conditions, drilling operations are difficult to carry out. It is of great value to implement drilling measurement while drilling. However, due to the poor working conditions underground, information transmission for the drilling process may be affected, which leads to the loss and conflicts of the data. It is necessary to use effective method to deal with the data and to make evaluation for the drilling process. In this paper, we present a D-S data fusion method and use fused data to form a framework to evaluate efficiency for the drilling process. We can efficiently analyze the entire drilling process and optimize the drilling parameters based on this framework.
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